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LICENSE

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MIT License
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Copyright (c) [2019] [Nikesh Bajaj]
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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MANIFEST.in

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include *.md
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include LICENSE.txt
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include requirements.txt
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include regml/__init__.py
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recursive-include regml *.py
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recursive-include regml *.txt
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recursive-include examples *.py
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recursive-include examples *.ipynb
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recursive-include *.ipynb
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### Exclude
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recursive-exclude * __pycache__
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recursive-exclude *.yml

Version

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0.1.0

docs/index.rst

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Regularization Methods for Machine Learning
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=====================================
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https://nikeshbajaj.github.io/Regularization_for_Machine_Learning/:
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.. toctree::
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:maxdepth: 2

examples/Getting_Started_Demo.ipynb

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